{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib作业"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "作业要求：\n",
    "\n",
    "高中体测数据可视化（体测分数_男生，体测分数-女生）\n",
    "\n",
    "1、对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比\n",
    "\n",
    "2、对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份\n",
    "\n",
    "3、使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖(男女生体重指数参考如下)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 加载数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.21</td>\n",
       "      <td>68</td>\n",
       "      <td>8.05</td>\n",
       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4946</td>\n",
       "      <td>100</td>\n",
       "      <td>183</td>\n",
       "      <td>79.699997</td>\n",
       "      <td>23.799999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>3.44</td>\n",
       "      <td>85</td>\n",
       "      <td>7.52</td>\n",
       "      <td>78</td>\n",
       "      <td>210</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>68</td>\n",
       "      <td>3538</td>\n",
       "      <td>74</td>\n",
       "      <td>171</td>\n",
       "      <td>54.700001</td>\n",
       "      <td>18.709999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3   1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4   1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0      0  2785      62  170  72.599998  25.120001  \n",
       "1     60  3133      68  174  52.700001  17.410000  \n",
       "2      0  3901      80  169  46.500000  16.280001  \n",
       "3      0  4946     100  183  79.699997  23.799999  \n",
       "4     68  3538      74  171  54.700001  18.709999  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boy_data = pd.read_excel('./体测分数_男生.xls', header=0)\n",
    "girl_data = pd.read_excel('./体测分数_女生.xls', header=0)\n",
    "boy_data.head()\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 男1000米、男引体饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3.647, 5.47]        261\n",
       "(1.823, 3.647]       195\n",
       "(-0.00547, 1.823]     21\n",
       "Name: 男1000米跑, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_run = pd.cut(boy_data['男1000米跑'], bins=3).value_counts()\n",
    "data_pull = pd.cut(boy_data['男引体'], bins=3).value_counts()\n",
    "data_run\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 6))\n",
    "plt.rcParams['font.family'] = 'Songti SC'  # plt的全局设置\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.pie(x=data_run,\n",
    "        labels=data_run.index,\n",
    "        autopct='%0.2f%%')\n",
    "plt.title(label='男1000米跑')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.pie(x=data_pull,\n",
    "        labels=data_pull.index,\n",
    "        autopct='%0.2f%%')\n",
    "_ = plt.title(label='男引体')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 女800米跑、女跳远直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      100\n",
       "1       40\n",
       "2       80\n",
       "3       85\n",
       "4       80\n",
       "      ... \n",
       "588     78\n",
       "589     76\n",
       "590     80\n",
       "591     74\n",
       "592     50\n",
       "Name: 女800米跑分数, Length: 593, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "girl_data['女800米跑分数']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 6))\n",
    "plt.subplot(121)\n",
    "plt.hist(x=girl_data['女800米跑分数'], bins=4)\n",
    "plt.xticks(np.arange(0, 101, step=25))\n",
    "plt.title('女800米跑')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.hist(x=girl_data['女跳远分数'], bins=4)\n",
    "plt.xticks(np.arange(0, 101, step=25))\n",
    "_ = plt.title('女跳远')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 嵌套饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bmi_boy(x):\n",
    "    if x <= 16.4:\n",
    "        return '低体重'\n",
    "    elif x <= 23.2:\n",
    "        return '正常'\n",
    "    elif x <= 26.3:\n",
    "        return '超重'\n",
    "    else:\n",
    "        return '肥胖'\n",
    "\n",
    "\n",
    "def bmi_girl(x):\n",
    "    if x <= 16.4:\n",
    "        return '低体重'\n",
    "    elif x <= 22.7:\n",
    "        return '正常'\n",
    "    elif x <= 25.2:\n",
    "        return '超重'\n",
    "    else:\n",
    "        return '肥胖'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['正常', '超重', '肥胖', '低体重']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_bmi_boy = boy_data['BMI'].map(bmi_boy)\n",
    "df_bmi_girl = girl_data['BMI'].map(bmi_girl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 6))\n",
    "plt.pie(df_bmi_girl.value_counts(),\n",
    "        labels=df_bmi_girl.value_counts().index,\n",
    "        radius=1,\n",
    "        autopct='%0.2f%%',\n",
    "        wedgeprops=dict(linewidth=1, width=.4, edgecolor='w'),\n",
    "        pctdistance=0.85)\n",
    "plt.pie(df_bmi_boy.value_counts(),\n",
    "        radius=0.7,\n",
    "        autopct='%0.2f%%',\n",
    "        wedgeprops=dict(linewidth=1, width=.4, edgecolor='w'),\n",
    "        pctdistance=0.55)\n",
    "_ = plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "aghanim",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
